Transcription circuitry of the S. pombe cell cycle

粟酒裂殖酵母细胞周期的转录回路

• 批准号: 7426851
• 负责人: JANET K LEATHERWOOD
• 金额: $ 26.14万
• 依托单位: STATE UNIVERSITY NEW YORK STONY BROOK
• 依托单位国家: 美国
• 财政年份: 2007
• 资助国家: 美国
• 起止时间: 2007-06-01 至 2011-05-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/7426851
• 关键词: Cell Cycle; Cell Cycle Regulation; Cell Separation; DNA biosynthesis; Disease; Eukaryotic Cell; Fission Yeast; Gene Cluster; Gene Expression; Genes; Genetic Transcription; Human; Measures; Mitosis; Phosphotransferases; Regulation; Role; Signal Transduction; Structure; Time; Work; combinatorial; forkhead protein; insight; programs; tool; transcription factor; tumorigenesis

DESCRIPTION (provided by applicant): Microarrays were used to measure gene expression through the cell cycle of S. pombe (fission yeast), and 750 cell cycle regulated genes were identified. These were placed into clusters. Tentative assignments of transcription factors were made to the major clusters. Here, we will explore the circuitry of the S. pombe cell cycle transcriptional network. We will define how each major cluster of genes expressed in mitosis is controlled, and how the clusters are co-ordinated with one another. We will find out how four major cell cycle transcription factors, MBF, Forkhead, Prz1, and Ace2, work, and how they are controlled. We will begin to examine combinatorial control by these transcription factors. Relevance: S. pombe is an excellent choice for the kind of comprehensive and global analysis proposed here. It has been and continues to be a major tool for study of the eukaryotic cell cycle and therefore will provide further insights for understanding human cell cycle regulation and how that program is altered in disease and oncogenesis.

描述（由申请人提供）：使用微阵列测量粟酒裂殖酵母（裂殖酵母）细胞周期中的基因表达，并鉴定了750个细胞周期调节基因。这些被放置成簇。对主要簇进行了转录因子的初步分配。在这里，我们将探索粟酒裂殖酵母细胞周期转录网络的电路。我们将定义有丝分裂中表达的每个主要基因簇是如何控制的，以及这些簇如何相互协调。我们将了解四种主要的细胞周期转录因子 MBF、Forkhead、Prz1 和 Ace2 的工作原理以及它们的控制方式。我们将开始研究这些转录因子的组合控制。相关性：粟酒裂殖酵母是此处提出的全面和全局分析的绝佳选择。它一直并将继续成为研究真核细胞周期的主要工具，因此将为理解人类细胞周期调控以及该程序在疾病和肿瘤发生中如何改变提供进一步的见解。